Software Engineer developing AI-driven forecasting and scheduling solutions for customer support platforms. Collaborating closely on machine learning efficiency and optimal scheduling techniques in a dynamic environment.
Responsibilities
Developing forecasting interfaces, data pipelines, and inference servers to predict support contact volume.
Designing and implementing interfaces to collect and store team preferences and customer business constraints to create optimal schedules.
Enhancing machine learning efficiency and operations to support rapid model deployment and iteration.
Requirements
Extensive back-end engineering experience in statically typed languages like Go, Java, or Rust.
Experience using Python libraries like pandas, SciPy, and seaborn for statistical or predictive work.
Previous experience working on a machine learning or algorithmic team.
A strong commitment to advancing both statistical and runtime performance, ensuring reliable and efficient forecasting and scheduling.
Benefits
Stock options
Full range of medical, financial, and/or other benefits
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